Calendar queues: a fast 0(1) priority queue implementation for the simulation event set problem
Communications of the ACM
Simple model of spiking neurons
IEEE Transactions on Neural Networks
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Spiking neural network simulations incorporating variable transmission delays require synaptic events to be scheduled prior to delivery. Conventional methods have memory requirements that scale with the total number of synapses in a network. We introduce novel scheduling algorithms for both discrete and continuous event delivery, where the memory requirement scales instead with the number of neurons. Superior algorithmic performance is demonstrated using large-scale, benchmarking network simulations.